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Continuous Multimodal Monitoring of Neonates with a Congenital Diaphragmatic Hernia

Keulen, Bart (author)

Introduction: Congenital diaphragmatic hernia (CDH) is a rare developmental defect of the diaphragm characterised by herniation of abdominal organs into the thoracic cavity during prenatal development. This herniation is usually accompanied by pulmonary hypertension (PH) and cardiac dysfunction (CD). Although several parameters are known to...

master thesis 2023

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Identifying observer-based features for seizure detection in 4-electrode EEG in the paediatric ICU

Lange, Sanne (author)

Epilepsy has been reported in 10-40% of children in the paediatric intensive care unit (PICU). Amplitude-integrated electroencephalography (aEEG), often used as neuromonitoring in the PICU, has some limitations and as a result, caretakers in the PICU may find it challenging to interpret aEEG. This may lead to uncertainty during diagnosis and...

master thesis 2023

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An AI algorithm to predict intubations in ICU patients: Predicting intubation to aid medical personnel in the decision to switch from High Flow Nasal Oxygen therapy to intubation

Hendriks, Manon (author)

Maasstad Hospital is a member of the Santeon hospital group. The ambition of Santeon is to improve healthcare for patients. The project in this internship also aims to improve patients’ health, specifically patients in the Intensive Care Unit (ICU).<br/>The treatment of respiratory insufficient patients in the ICU consists of High Flow Nasal...

master thesis 2023

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The ICU-Recover Box: Using Smart Technology For Monitoring Health Status After ICU Admission

Schouten, Janno (author)

Patients who are admitted to the Intensive Care Unit (ICU) are extremely ill and at high risk of organ failure and death. Being admitted to the ICU is known to cause long lasting physical, cognitive, and physiological symptoms, which is called Post-Intensive Care syndrome (PICS). To provide better management of PICS, early recognition and...

master thesis 2023

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Detection of patient-ventilator asynchrony based on esophageal pressure using a convolutional neural network

Ihaddouchen, Imane (author)

Introduction: In intensive care units (ICU), the most significant life support technology for patients with acute respiratory failure is mechanical ventilation. A mismatch between ventilatory support and patient demand is referred to as patient-ventilator asynchrony (PVA), and it is associated with a series of adverse...

master thesis 2023

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Is the Microcirculation the Key in Understanding the Development of Shock After Cardiothoracic Surgery?

Toet, Rowan (author)

Cardiothoracic surgery is a common treatment for cardiovascular diseases. Patients are admitted to the ICU after cardiothoracic surgery for continuous monitoring to prevent or treat postoperative complications as much and as soon as possible. One of these complications is the development of circulatory shock. It is likely caused by one or a...

master thesis 2023

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Age-dependent changes in arterial blood pressure in neonates during the first week of life: reference values and development of a model

van Zadelhoff, Arjan C. (author), Poppe, Jarinda A. (author), Willemsen, Sten (author), Mauff, Katya (author), van Weteringen, Willem (author), Goos, T.G. (author), Reiss, Irwin K.M. (author), Vermeulen, Marijn J. (author), de Graaff, Jurgen C. (author)

Background: Arterial pressure measurements are important to monitor vital function in neonates, and values are known to be dependent of gestational and postnatal age. Current reference ranges for mean arterial pressure in neonates have been derived from small samples and combined data of noninvasive and invasive measurements. We aimed to...

journal article 2023

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Towards a Circular ICU: How to implement reusable video laryngoscopes at the ICU

Koot, Veerle (author)

The healthcare sector uses a lot of on single use medical products, causing large amounts of CO₂ emissions and excessive amounts of waste. This project contributes to a circular Intensive Care Unit (ICU) by investigating the barriers and possible solutions for a transition from single use video laryngoscopes (VL) to (partly) reusable ones, in...

master thesis 2022

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The Development of a Dashboard to Optimise Neuromonitoring of Paediatric Traumatic Brain Injury Patients in the Intensive Care Unit

Formsma, Bart (author)

<b>Introduction</b> Traumatic brain injury (TBI) is a leading cause of childhood morbidity, disability and mortality worldwide. In the treatment of TBI, neuromonitoring is essential to prevent secondary neurological damage. However, the use of neuromonitoring and specifically therapeutic targets is currently limited evidence-based.<br/><b...

master thesis 2022

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Improving the daily ICU experience from a critically ill patient's perspective

van Houwelingen, Eva (author)

The intensive care unit (ICU) is a dehumanizing technical environment causing complications that are all captured in the term post-intensive-care syndrome (PICS). The patient’s well-being could be improved by moving away from this hostile environment toward more patient-centred care. Therefore this report explores how to improve the daily ICU...

master thesis 2022

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Reducing the environmental impact of syringes in the Intensive Care Unit

Honkoop, Margot (author)

This graduation project focused on reducing the environmental impact of syringes on the Intensive Care Unit (ICU) of Erasmus University Medical Centre (MC) by designing solutions based on circular economy.<br/><br/>The ICU of Erasmus MC produces an excessive amount of waste and initiated the transition towards a circular ICU. Syringes and their...

master thesis 2022

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Sublingual microcirculation in patients with a severe COVID-19 infection and in patients who develop cardiogenic shock after cardiothoracic surgery

Pols, Jiska (author)

Background and aim: The exact pathophysiology of a COVID-19 infection is still not completely understood, which complicates treatment of the disease. In order to clarify the pathophysiologic mechanisms and optimize treatment methods, monitoring of the sublingual microcirculation may be valuable. From studies in septic patients, we know that...

master thesis 2022

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An Algorithm for Automatic Acoustic Alarm Recognition in the Neonatal Intensive Care Unit

Spagnol, S. (author), Goos, T.G. (author), Reiss, Irwin (author), Ozcan Vieira, E. (author)

Inside the Neonatal Intensive Care Unit (NICU), exposure to loud sounds such as acoustic medical alarms can have adverse effects on neonates, parents, and medical staff. With the aim of having an accurate overview of which and how often acoustic medical alarms occur, this paper presents a simple signal processing-based approach for detecting...

conference paper 2022

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Circular material flow in the intensive care unit—environmental effects and identification of hotspots

Hunfeld, Nicole (author), Diehl, J.C. (author), Timmermann, Maarten (author), van Exter, Pieter (author), Bouwens, Joris (author), Browne-Wilkinson, Savanna (author), de Planque, Nine (author), Gommers, D.A.M.P.J. (author)

Purpose: The healthcare sector is responsible for 6–7% of CO₂ emissions. The intensive care unit (ICU) contributes to these CO₂ emissions and a shift from a linear system to a circular system is needed. The aim of our research was to perform a material flow analysis (MFA) in an academic ICU. Secondary aims were to obtain...

journal article 2022

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Development and validation of an early warning model for hospitalized COVID-19 patients: a multi-center retrospective cohort study

Smit, J.M. (author), Krijthe, J.H. (author), Tintu, Andrei N. (author), Endeman, Henrik (author), Ludikhuize, Jeroen (author), van Genderen, Michel E. (author), Gommers, D.A.M.P.J. (author), Arbous, M.S. (author), Reinders, M.J.T. (author)

Background: Timely identification of deteriorating COVID-19 patients is needed to guide changes in clinical management and admission to intensive care units (ICUs). There is significant concern that widely used Early warning scores (EWSs) underestimate illness severity in COVID-19 patients and therefore, we developed an early warning model...

journal article 2022

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Towards a quieter neonatal intensive care unit: evaluating and visualizing soundscapes to raise awareness on sound-producing events

Viñas Vila, Núria (author)

A soundscape is the acoustic environment that is constantly surrounding us. Soundscapes in the neonatal intensive care unit (NICU) might adversely affect neonates, their families, and healthcare providers. In this unit, the number of alarms and nuisance is very high, and studies show that it negatively affects both the well-being of patients and...

master thesis 2021

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Validation of the Hypotension Prediction Index on the Intensive Care Patient Population

Ligtenberg, Max (author)

A low blood pressure (hypotension, as mean arterial pressure &lt; 65 mmHg) in patients on the intensive care unit (ICU) is associated with adverse outcomes and death. Proactive treatment with the use of a predictive alarm could improve patient outcome. The Hypotension Prediction Index (HPI) is a machinelearning algorithm that uses arterial blood...

master thesis 2021

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Roadmap for AI in a humane ICU

DU, Fei (author)

ICU is the place with the most advanced monitoring and support machines in a hospital. But surrounded by all these machines, ICU patients are also like machines instead of humans. Scientific advances have been proved to greatly improve the cure rate. Meanwhile, patients' well-being has been gradually treated as important as curing the disease...

master thesis 2021

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Design guidelines towards humanization and Artificial Intelligence in the Intensive Care Unit

Nagtzaam, Ruud (author)

This report describes a graduation project for the MSc program Strategic Product Design. The client in this project is the Erasmus MC in the Netherlands and commissions this project incorporation with the Critical Alarms Lab (CAL) of the TU Delft. The Erasmus MC and CAL want to improve the experience of the Intensive Care Unit (ICU) both for...

master thesis 2021

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Predicting Intensive Care Unit Readmission: Performance and Explainability of Machine Learning Algorithms

van der Meijden, Siri (author)

Intensive Care Unit (ICU) readmission is a serious adverse event associated with high mortality rates and costs. Prediction of ICU readmission could support physicians in their decision to discharge patients from the ICU to lower care wards. Due to increasing ICU data availability, Artificial Intelligence (AI) models in the form of machine...

master thesis 2021